Wandora is a general purpose data extraction,
management, and publishing application based on
Topic Maps and Java. Wandora has a graphical user
interface, layered presentation of knowledge,
several data storage options, rich data
extraction, import and export capabilities, and an
embedded HTTP server that enables dynamic
publication of Topic Maps. Wandora is well suited
for rapid ontology construction and knowledge
mashups.

Mappa is a Topic Maps engine. It is compatible with the Topic Maps - Data Model (TMDM) and provides different backends to store topic maps. Further, it provides the import and export of different Topic Maps syntaxes.

Ontopia is a set of tools for building applications driven by Topic Maps, such as Web portals. The main benefit of Topic Maps is that they provide a flexible and expressive data model supporting much better findability than traditional solutions, as well as advanced features like automated merging of datasets.

tmphoto is a Web photo gallery with a fairly advanced metadata structure, allowing photos to be described in terms of place, category, persons in the photo, and events. The places, categories, persons, and events can be further described. It offers a nice browsing interface based on the metadata.

tmjs is a Topic Maps engine written in pure JavaScript. It aims to compliant with the Topic Maps API TMAPI 2.0 and implements the Topic Maps - Data Model TMDM. tmjs is meant to be a lightweight engine that makes it possible to implement Topic Maps based applications in Web browsers. It can be used to create semantic mashups. The JavaScript library is independent of libraries such as jQuery or prototype.js, but it can be used in combination with them.

Goozzee allows you to easily create, browse, and share knowledge bases and documentation repositories using topic maps. It can be used standalone with an embedded database or in multi-user mode with a MySQL or MariaDB server to store its data. It can store notes and files of any type and size, create links between notes and files, browse through your knowledge base by following these links, or search notes using the fast and powerful full text search engine.